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Knowledge Organizing

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Shy2593666979
knowledge-organizing

将用户提供的笔记、对话或文档整理为知识卡片、常见问题、操作指南或决策记录,保留来源和待确认事项。

Overview

PublisherShy2593666979
RepositoryAgentChat
Skill nameknowledge-organizing
Stars
926
Forks
113
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Shy2593666979 on GitHub. Read the source before you install it.

Installation

Install the Knowledge Organizing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Shy2593666979/AgentChat/tree/main/src/backend/agentchat/config/skills/knowledge-organizing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Shy2593666979/AgentChat.git /tmp/AgentChat
mkdir -p .claude/skills
cp -r /tmp/AgentChat/src/backend/agentchat/config/skills/knowledge-organizing .claude/skills/knowledge-organizing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Knowledge Organizing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Knowledge Organizing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Knowledge Organizing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

知识整理

根据材料用途选择产物:概念用知识卡片,重复问题用常见问题,操作经验用指南,选择过程用决策记录。

工作方法

  1. 确认材料实际覆盖的主题、读者与用途。先抽取核心概念和信息层级,避免按原文顺序机械缩写。
  2. 合并重复表达,保留相互矛盾的观点、适用条件与重要例外。区分材料中的事实、讨论建议和已经确认的决定。
  3. 把内容转成适合检索的短标题与小节,补充相关条目之间的联系。
  4. 记录来源位置。行动项只填写材料明确给出的负责人和时间,未明确的内容标为待确认。
  5. 检查整理后是否改变原意、丢失前提或把讨论写成结论。

格式选择见 /knowledge-organizing/reference/output-template.md;复核时读取 /knowledge-organizing/reference/review-checklist.md。

当前输出 Markdown 内容,不自动写入 Notion 或其他知识库。只引用已提供的材料,不访问外部系统补写事实。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Knowledge Organizing AI skill do?

将用户提供的笔记、对话或文档整理为知识卡片、常见问题、操作指南或决策记录,保留来源和待确认事项。

Why use Knowledge Organizing on TypingMind?

Because you install it once and use it with any model. Knowledge Organizing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Knowledge Organizing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Shy2593666979/AgentChat/tree/main/src/backend/agentchat/config/skills/knowledge-organizing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Knowledge Organizing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Knowledge Organizing?

As many as you like. As long as a model supports skills, you can use Knowledge Organizing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Knowledge Organizing AI skill free?

Yes. It is published on GitHub by Shy2593666979 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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